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The Second International Conference on Theoretical and Mathematical Foundations of Computer Science（ICTMF 2011）

作者： Run-Hua Shi Hong Zhong Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University School of Computer Science and Technology Anhui University

We present two schemes for asymmetric multiparty-controlled teleportation of an arbitrary n-qudit state using different quantum channels between the sender Alice and the controllers, where the first scheme utilizes the generalized Bell states in d-dimensional Hilbert space as the quantum channels and the second scheme takes the generalized multi-particle GHZ maximally entangled states as quantum resources. In addition, Alice shares n generalized Bell states with the receiver Bob in two schemes. In order to avoid performing three-particle or multi-particle joint measurements and consuming more qudits of the multi-particle maximally entangled states, Alice introduces the generalized CNOT gate operations and then obtains higher communication efficiency than the previous schemes based on entanglement swapping.

关键词： Quantum information,Quantum teleportation,Quantum state sharing

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Combining supervised and unsupervised models via unconstrained probabilistic embedding

Combining supervised and unsupervised models via unconstrain...

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Ma, Xudong Luo, Ping Zhuang, Fuzhen He, Qing Shi, Zhongzhi Shen, Zhiyong Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Hewlett Packard Labs. China China Graduate University of Chinese Academy of Sciences China

ISBN: (纸本)9781577355120

Ensemble learning with output from multiple supervised and unsupervised models aims to improve the classification accuracy of supervised model ensemble by jointly considering the grouping results from unsupervised models. In this paper we cast this ensemble task as an unconstrained probabilistic embedding problem. Specifically, we assume both objects and classes/clusters have latent coordinates without constraints in a D-dimensional Euclidean space, and consider the mapping from the embedded space into the space of results from supervised and unsupervised models as a probabilistic generative process. The prediction of an object is then determined by the distances between the object and the classes in the embedded space. A solution of this embedding can be obtained using the quasi-Newton method, resulting in the objects and classes/clusters with high co-occurrence weights being embedded close. We demonstrate the benefits of this unconstrained embedding method by three real applications.

关键词： Newton-Raphson method

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Inter-piconet Interference Mitigation Schemes for Converged BTLE and Cellular Network

Inter-piconet Interference Mitigation Schemes for Converged ...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Ying Hu Guizhu Wang Yuling Ouyang Lianhai Shan Zhi Yuan Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Key laboratory of Intelligent Computing & SignalProcessing Ministry of Education Anhui UniversityHe Shanghai Research Center for Wireless CommunicationsKey Lab of Wireless Sensor Network & Communicati

In a Bluetooth Low Energy (BTLE) piconet, the master node controls the channel access by a simple polling scheme. Due to an absence of coordination among independent master nodes while accessing the wireless medium, devices will encounter high packet interference if many piconets are simultaneously operating in the same area. In this paper, we propose two schemes in the converged BTLE and cellular network, one is based on bad channel prediction for the BTLE piconets, and the other is based on frequency hopping sequences transformation. We compare the performance of the proposed algorithms with original scheme in the form of channel collision probability and new signaling overhead. The simulation results show that the proposed schemes can reduce channel collision probability significantly and simultaneously the new signaling overhead introduced to the downlink is not large.

关键词： Bluetooth Low Energy(BTLE) piconets cellular network interference channel collision probability

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Fusion of polarimetric image using contourlet transform

Fusion of polarimetric image using contourlet transform

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International Conference on Consumer Electronics, Communications and Networks

作者： He Zong-hu Zhang De-xiang Zhang Ling-jun Yuan Bao-hong Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China Institute of Electrical Engineering and Automation Anhui University Hefei China

Contourlet transform is the combination of the multi-scale analysis and multi-directional analysis in processing high-dimensional signals and has better approximation precision and better sparse description. Firstly, Using the Contourlet transform, several polarimetric images can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger value of region variance information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused contourlet coefficients. Experimental results show that the proposed algorithm works better in preserving the edges and texture information compared with the traditional image fusion algorithms.

关键词： Image fusion Pixel Wavelet transforms Filter banks Speckle Image resolution

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Study of hybrid strategy for ambulatory ECG waveform clustering

Journal of Software

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Journal of Software 2011年第7期6卷 1257-1264页

作者： Zheng, Gang Yu, Tian Laboratory of Biological signal and Intelligent Processing Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China School of Computer and Communication Engineering Tianjin University of Technology Tianjin China Laboratory of Biological signal and Intelligent Processing Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

A hybrid strategy has been proposed to reduce the wrong clustering on Ambulatory ECG (electrocardiogram). Since Ambulatory ECG is usually composed by 24 hours data, the number of individual ECG waveform can reach to 100,000, the request for accurate clustering result is highly required. The proposed strategy adopted some intelligent algorithms to solve the above problem. It clusters ECG waveform sample (selected from Ambulatory ECG) synchronously by Max-Min distance clustering algorithm, K-means algorithm and Simulated annealing algorithm first. And then, it adopted all three outputs from the above three algorithms as input on Back Propagation Artificial Neural Network (BP ANN). In the end, we got more accurate clustering result from the output of ANN. For testing the results, data of MIT/BIH arrhythmia database were used for experiments. After the controlled trial on MIT/BIH data, it can be safely concluded that the clustering result achieved by improved strategy can got more accurate than that by the traditional clustering algorithm. An average accuracy ratio is about 94.6%, 1.6% higher than k-means algorithm averagely and 1.3% higher than Simulated Annealing algorithm averagely. © 2011 ACADEMY PUBLISHER.

关键词： Electrocardiograms

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On alpha-mean of Kullback-Leibler divergences for subspace selection

On alpha-mean of Kullback-Leibler divergences for subspace s...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Chen, Si-Bao Wang, Hai-Xian Zhang, Xing-Yi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China Key Lab of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9781612841816

Fisher's linear discriminant analysis (FLDA) is one of the most well-known linear subspace selection methods. However, FLDA suffers from the class separation problem. The projection to a subspace tends to merge close class pairs. Recent results show that maximizing the geometric mean or harmonic mean of Kullback-Leibler (KL) divergences of class pairs can significantly reduce this problem. In this paper, to further reduce the class separation problem, the alpha-mean of divergences as a framework is proposed for subspace selection, with arithmetic mean, geometric mean and harmonic mean as special cases. We named it the maximization of the alpha-mean of all pairs of KL divergences (MAMD) criterion. A quasi-Newton method is applied to solve the optimization problem. Experiments on synthetic data and two datasets in UCI machine learning repository show the validity of MAMD. © 2011 IEEE.

关键词： Newton-Raphson method

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GVD effect and nonlinear pulse propagation in 40Gbit/s optical fiber communication systems

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Procedia Engineering 2011年 15卷 2675-2679页

作者： Wu Sheng Liao Tong-Qing Wu Xian-Liang Ministry of Educational Key Laboratory of Intelligent Computing & Signal Processing AnHui University Hefei 230039 China Department of Computer Science and Technology Hefei Normal University Hefei 230601 China

In this paper, group velocity dispersion (GVD) and second-order GVD effects are shortly discussed and then the limitations on the bit rate induced by dispersion or second-order GVD are estimated. For relative higher pulse energy and shorter pulse width in 40Gbit/s systems, self-phase modulation(SPM) is significant. The combined effect of GVD and SPM on the propagation pulses are analyzed through Nonlinear Schrödinger Equation(NLSE).

关键词： GVD nonlinear pulse propagation SPM

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Spiking Neural P Systems for Arithmetic Operations

Spiking Neural P Systems for Arithmetic Operations

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International Conference on Bio-Inspired computing: Theories and Applications, BICTA

作者： Xiangxiang Zeng Tao Song Linqiang Pan Xingyi Zhang Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei Anhui China

Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.

关键词： Neurons Tin Encoding Adders Educational institutions Generators Computational modeling

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Roughness in vector spaces

Roughness in vector spaces

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2011 IEEE International Conference on Granular computing, GrC 2011

作者： Wu, Mingfen Xie, Xiangyun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science Wuyi University Guangdong China School of Mathematics and Computational Science Wuyi University China

ISBN: (纸本)9781457703713

Rough set theory proposed by Pawlak, is a complementary generalization of classical set theory. The relations between rough sets and algebraic systems endowed with two binary operations such as rings, groups and semigroups have been already considered. Wu, Xie and Cao defined a pair of rough approximation operators based on a sub-space. In this paper we do the further study about the upper (lower)approximations. We propose concepts of W-upper(lower) rough subspaces in an approximation space and give some properties of the upper(lower) and rough subspaces. Some characterizations of the upper(lower) rough subspace are expressed with addition and intersection operations of subspaces. At the same time, some counterexamples are offered to illustrate the relevant results. © 2011 IEEE.

关键词： Rough set theory

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Through-wall synthetic aperture radar based on finite beamwidth processing

Through-wall synthetic aperture radar based on finite beamwi...

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Microwaves, Radar and Remote Sensing Symposium, MRRS

作者： Jiabing Zhu Yi Hong Liang Tao East China Research Institute of Electronic Engineering Hefei Anhui China Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University China

Standard backprojection technique is used in typical through-wall synthetic aperture radar (TWSAR) image, it implicitly assumes infinite beamwidth, whereby the entire target area is illuminated and returns are collected from all points in the imaging grid, and this decreases the efficiency of the algorithm by summing over unnecessary grid points. In order to eliminate the disadvantage, the time-domain backprojection method based on finite beamwidth processing is proposed in the paper. The processing method is designed to be more physically realistic by accounting for the actual antenna pattern. Simulation results show that depending on the width of the effective beam, the number of processing loops can be reduced by up to 50%, while still maintaining good image quality in terms of the reconstructed target response.

关键词： Radar imaging Apertures Imaging Finite element methods signal processing algorithms

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